A Novel Cloud Renting Scheme in a Homogeneous Environment for Service Provider to Maximize Profit

Abstract

In the superior moral of bringing advanced data packing and management services, we have designed an internet based computing service called Cloud Computing. Day to day advancements in the cloud data sharing services we have achieved a greater progress. The moto being an efficient and effective way of providing cloud computing facilities towards the user and customer grounded happening their requirement. In the market of digital world the so called Cloud services are being used on a larger scale through the internet users giving access to mobiles and laptops and many more computing gadgets making internet as the only medium for sharing data worldwide. However, the principle agenda of cloud services is to provide a service with good quality of service at a larger scale with minimal profits and cost effective. As a fact a single long-term renting scheme which is obtained and acquired to configure a cloud platform cannot provide a guaranteed quality of service.

In this paper, we propose a double resource renting scheme designed to overcome the issues emerged in short and long-term renting schemes. Our proposed renting scheme provides an efficient and effective way of providing quality of service without any wastage of space and data. we consider a service system is considered as an M/M/m+D queuing model and performance has been analyzed and evaluated in all the following parameters e.g., the average charge, the ratio of requests that require limited servers, and services. We also have designed and formulated a profit maximization problem for our double renting scheme and optimized the configuration of a cloud platform by solving the profit maximization problem. So finally we have calculated the different factors comparing both the convolution rental schemes with the proposed rental scheme. The obtained results shows high quality of service and guarantees the performance is nowhere compromised in handling the requests.